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Health outcomes in hospitalised and non-hospitalised individuals after COVID-19, an observational, cross-sectional study

BACKGROUND: Both hospitalised (H) and non-hospitalised (NH) individuals may have different symptoms and impairments after COVID-19. We aimed to explore symptoms, mental and physical health after initial COVID-19 for both groups of individuals and the association between physical and mental impairments in relation to self-rated health status and to identify different cluster profiles.METHODS: Parti

Utveckling av kommunikativ och empatisk förmåga- en studentdriven modell i läkarutbildningen

Bakgrund: God kommunikativ och empatisk förmåga hos läkare skapar trygghet och upplevs som professionellt av patienter och närstående. Forskning visar att empati förbättrar patienters följsamhet, nöjdhet och relationen mellan läkare och patient, vilket i sin tur leder till högre vårdkvalitet, bättre behandlingsresultat och minskade vårdkostnader. Ett empatiskt förhållningssätt främjar både fysisk

Political Violence in Athens, Greece (2008-2024): A Machine Learning Approach for Predictive Modelling of Spatial Risk Patterns

Political violence in Athens exhibits distinctive spatial and temporal regularities shaped by the city’s symbolic infrastructure, mobility patterns, and socio-political dynamics. This thesis integrates environmental criminology with spatially explicit machine-learning techniques to examine risk patterns of politically motivated violence between 2008 and 2024. Using a multi-layered dataset of 610 a

Time-resolved analysis of nanoparticle composition from alloyed feedstocks

Since its development in the 1980s, spark ablation has been widely used to produce nanoparticles (NPs) in the aerosol phase, effectively eliminating surface contamination common in other generation methods (Schmitt-Ott, 2019). This is a significant advantage, as the surface of NPs plays a crucial role in applications such as sensing and catalysis. Additionally, spark ablation enables the productio

Vaccine effectiveness against influenza A in older adults and the effect of chronic conditions : results from the I-MOVE and VEBIS multicentre European hospital case–control studies, 2015/16–2023/24

Background: The Influenza – Monitoring Vaccine Effectiveness in Europe (I-MOVE/I-MOVE+) and Vaccine Effectiveness, Burden and Impact Studies (VEBIS) hospital networks have conducted seasonal multicentre, test-negative, case–control studies in Europe to measure influenza vaccine effectiveness (IVE) since 2015/16. We measured the effect of chronic conditions on VE of influenza A subtypes among older

Digital och interaktiv palliativ mottagning

BakgrundDetta projekt utgår dels från vår ALLAN-studie kring tidig palliativ vård, och dels från tidigare erfarenhet av digital vårdinnovation.Den digitala vårdtjänsten 1177.se erbjuder flexibel kontakt med patienter, vilket kan vara ett alternativ till fysiska hembesök. Samtidigt ifrågasätts om svårt sjuka och äldre patienter kan använda och acceptera digital vård, samt om detta påverkar den inte

Dense Match Summarization for Faster Two-view Estimation

In this paper, we speed up robust two-view relative pose from dense correspondences. Previous work has shown that dense matchers can significantly improve both accuracy and robustness in the resulting pose. However, the large number of matches comes with a significantly increased runtime during robust estimation in RANSAC. To avoid this, we propose an efficient match summarization scheme which pro

Rationalizing Deactivation Behavior in Pyrochlore-Type CeO2-ZrO2 Oxygen Storage Catalysts Using Multimodal Nano X-Ray Fluorescence Computed Tomography, X-Ray Diffraction Computed Tomography, and Scanning Three-Dimensional X-ray Diffraction

The authors report a combination of multimodal scanning three-dimensional X-ray diffraction (S3DXRD), X-ray diffraction computed tomography (XRD-CT), and X-ray fluorescence computed tomography (XRF-CT) used for the first time to provide multiscale (spanning the size regime 0.15–500 µm) insight into the aging of a CeO2-ZrO2 solid solution known to exhibit outstanding reversible oxygen storage capac

Flood susceptibility mapping in the Nyabarongo Catchment, Rwanda, based on data analysis and modeling

Rwanda’s Nyabarongo catchment frequently experiences floods, highlighting the need for effective flood susceptibility analysis and management. This study mapped flood susceptibility in the catchment using the random forest (RF), support vector machine (SVM), eXtreme Gradient Boosting (XGBoost), SHapley Additive exPlanations (SHAP) models, as well as various conditioning factors including elevation

Creative tensions : Lüvo’s feminist decolonial praxis in working through/and against neoliberal academia

This article delves into the challenges of conducting activist research with communities labelled as ‘marginalised’ within the confines of neoliberal academia. Through autoethnography and feminist decolonial praxis, we draw from our experiences with Lüvo, a feminist antiracist collective, to illustrate how we navigate these obstacles and integrate our scholarly endeavours with transformative activ

Stakeholder perspectives on Qatari’s food system transformation amid climate change impacts : a mixed-methods approach

Located in one of the world’s most arid regions and heavily reliant on food imports, Qatar’s food system faces significant vulnerabilities due to climate-induced impacts and resource constraints. This chapter adopts a mixed-methods approach to explore stakeholders’ perspectives on food system challenges and pathways for transformation toward greater climate resilience. First, we qualitatively anal